Sequence-Augmented SE (3)-Flow Matching For Conditional Protein Backbone Generation

G Huguet, J Vuckovic, K Fatras… - arXiv preprint arXiv …, 2024 - arxiv.org
Proteins are essential for almost all biological processes and derive their diverse functions
from complex 3D structures, which are in turn determined by their amino acid sequences. In …

Full-Atom Peptide Design based on Multi-modal Flow Matching

J Li, C Cheng, Z Wu, R Guo, S Luo, Z Ren… - arXiv preprint arXiv …, 2024 - arxiv.org
Peptides, short chains of amino acid residues, play a vital role in numerous biological
processes by interacting with other target molecules, offering substantial potential in drug …

Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion

Y Hu, Y Tan, A Han, L Zheng, L Hong… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of deep learning has introduced efficient approaches for de novo protein
sequence design, significantly improving success rates and reducing development costs …

PocketGen: Generating Full-Atom Ligand-Binding Protein Pockets

Z Zhang, W Shen, Q Liu, M Zitnik - bioRxiv, 2024 - biorxiv.org
Designing small-molecule-binding proteins, such as enzymes and biosensors, is essential
in protein biology and bioengineering. Generating high-fidelity protein pockets—areas …